Triple
T7486258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Beth Tinker |
E176888
|
entity |
| Predicate | speaksOnTopic |
P48429
|
FINISHED |
| Object | students’ constitutional rights |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: students’ constitutional rights | Statement: [Mary Beth Tinker, speaksOnTopic, students’ constitutional rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speaksOnTopic Context triple: [Mary Beth Tinker, speaksOnTopic, students’ constitutional rights]
-
A.
givesSpeechOn
chosen
Indicates that one entity delivers or presents a speech whose topic or subject matter concerns another entity.
-
B.
spokenOn
Indicates that an utterance or speech act occurred at or during a specific time or date.
-
C.
spokeAt
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
-
D.
speaksIn
Indicates that an entity uses or expresses itself in a particular language or medium when speaking.
-
E.
mainSpeechBy
Indicates that a speech or primary address is delivered or given by a particular entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f556955c8190bf014a065e04c5d8 |
completed | March 27, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c6f03eeaa88190a5215772ed05ee9f |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:42 p.m.